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A Color Distance Model Based on Visual Recognition

机译:基于视觉识别的色彩距离模型

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摘要

In computer vision, Euclidean Distance is generally used to measure the color distance between two colors. And how to deal with illumination change is still an important research topic. However, our evaluation results demonstrate that Euclidean Distance does not perform well under illumination change. Since human eyes can recognize similar or irrelevant colors under illumination change, a novel color distance model based on visual recognition is proposed. First, we find that various colors are distributed complexly in color spaces. We propose to divide the HSV space into three less complex subspaces, and study their specific distance models. Then a novel hue distance is modeled based on visual recognition, and the chromatic distance model is proposed in line with our visual color distance principles. Finally, the gray distance model and the dark distance model are studied according to the natures of their subspaces, respectively. Experimental results show that the proposed model outperforms Euclidean Distance and the related methods and achieves a good distance measure against illumination change. In addition, the proposed model obtains good performance for matching patches of pedestrian images. The proposed model can be applied to image segmentation, pedestrian reidentification, visual tracking, and patch or superpixel-based tasks.
机译:在计算机视觉中,欧几里得距离通常用于测量两种颜色之间的颜色距离。而如何应对光照变化仍然是重要的研究课题。但是,我们的评估结果表明,在光照变化下,欧几里得距离的效果不佳。由于人眼在光照变化下可以识别相似或无关的颜色,因此提出了一种基于视觉识别的新颖色距模型。首先,我们发现各种颜色复杂地分布在颜色空间中。我们建议将HSV空间分为三个不太复杂的子空间,并研究它们的特定距离模型。然后基于视觉识别对一种新的色相距离进行建模,并根据我们的视觉色距原理提出了色差模型。最后,分别根据子空间的性质研究了灰距离模型和暗距离模型。实验结果表明,所提出的模型优于欧几里德距离法和相关方法,取得了较好的抗光照变化的距离度量。此外,所提出的模型在匹配行人图像的补丁方面获得了良好的性能。所提出的模型可以应用于图像分割,行人重新识别,视觉跟踪以及基于补丁或超像素的任务。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2018年第6期|4652526.1-4652526.7|共7页
  • 作者

    Lv Jingqin; Fang Jiangxiong;

  • 作者单位

    East China Jiaotong Univ, Sch Software, Nanchang 330013, Jiangxi, Peoples R China;

    East China Univ Technol, Sch Geophys & Measure Control Technol, Nanchang 330011, Jiangxi, Peoples R China;

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